Identifying quantitative trait loci for the general combining ability of yield-relevant traits in maize

文献类型： 外文期刊

第一作者： Liu, Xiaogang

作者： Liu, Xiaogang;Hu, Xiaojiao;Li, Kun;Liu, Zhifang;Wu, Yujin;Huang, Changling;Wang, Hongwu;Feng, Guang

作者机构：

关键词： general combining ability; linkage mapping; maize; quantitative trait locus

期刊名称：BREEDING SCIENCE （ 影响因子：2.086； 五年影响因子：2.632 ）

ISSN： 1344-7610

年卷期： 2021 年 71 卷 2 期

页码：

收录情况： SCI

摘要： Maize is the most important staple crop worldwide. Many of its agronomic traits present with a high level of heterosis. Combining ability was proposed to exploit the rule of heterosis, and general combining ability (GCA) is a crucial measure of parental performance. In this study, a recombinant inbred line population was used to construct testcross populations by crossing with four testers based on North Carolina design II. Six yield-relevant traits were investigated as phenotypic data. GCA effects were estimated for three scenarios based on the heterotic group and the number of tester lines. These estimates were then used to identify quantitative trait loci (QTL) and dissect genetic basis of GCA. A higher heritability of GCA was obtained for each trait. Thus, testing in early generation of breeding may effectively select candidate lines with relatively superior GCA performance. The GCA QTL detected in each scenario was slightly different according to the linkage mapping. Most of the GCA-relevant loci were simultaneously detected in all three datasets. Therefore, the genetic basis of GCA was nearly constant although discrepant inbred lines were appointed as testers. In addition, favorable alleles corresponding to GCA could be pyramided via marker-assisted selection and made available for maize hybrid breeding.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序